Prediction of Hourly Indoor Carbon Monoxide Concentrations by Using Multivariate Methods with Sensitivity Analysis Technique

field_of_study

Blank

university

Israa University

authors

Elbayoumi M.; Harb S.E.

authors_full_names

Elbayoumi, Maher (55847763900); Harb, Suheir Elbayoumi (57873529800)

authors_id

55847763900; 57873529800

year

2018

source_title

Israa University Journal of Applied Science

article_title

Prediction of Hourly Indoor Carbon Monoxide Concentrations by Using Multivariate Methods with Sensitivity Analysis Technique

volume

2

issue

1

page_start

56

page_end

71

publisher

Israa University

affiliations

Energy and Sustainable Environment Center, School of Engineering, Israa University, Gaza, Palestine; Palestine Technical College, Gaza Strip, Dier Elbalah, Palestine

authors_with_affiliations

Elbayoumi M., Energy and Sustainable Environment Center, School of Engineering, Israa University, Gaza, Palestine; Harb S.E., Palestine Technical College, Gaza Strip, Dier Elbalah, Palestine

corresponding_author

M. Elbayoumi; Energy and Sustainable Environment Center, School of Engineering, Israa University, Gaza, Palestine; email: elbayoumimaher@gmail.com

cited_by

2

doi

10.52865/PHSE9970

author_keywords

Air Quality Prediction; Data Driven Models; Indoor Air Quality; Natural Ventilation